Video Conferencing with Sign language Detection

ABSTRACT

Video conferencing software has become an essential tool for communicating with one another across long distances. There are several video conferencing software that are utilised for communication all over the world. Huge numbers of people are unable to interact via spoken language and find typical video conferencing solutions difficult to use. Our project intends to solve this problem by creating a user-friendly Video Conferencing App that can identify sign language in real time and provide correct subtitles. Due to a lack of communication skills, deaf and hard of hearing persons confront several obstacles in their everyday lives. The covid epidemic has made traditional ways of communication extremely challenging for these people. Our goal is to bridge the gap by giving them a platform to showcase their skills. © 2022 IEEE.